[CogSci] Annual JAGS and Stan Workshop: Bayesian Modeling for Cognitive Science (22 – 26 August)

[Eric-Jan]

The workshop provides a theoretical background on Bayesian statistics and introduces the programs JAGS or Stan to implement diverse statistical models

JASP Workshop (https://gmail.us20.list-manage.com/track/click?u=71406b44e064c2160a2ab6570&id=94c937fbec&e=4d3772eb89)


** Bayesian Modeling for Cognitive Science: A Workshop in Amsterdam

August 22–26, 2022
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We are delighted to announce that registration (https://gmail.us20.list-manage.com/track/click?u=71406b44e064c2160a2ab6570&id=7ab75c351d&e=4d3772eb89) is now open for the annual Amsterdam workshop on probabilistic modelling for cognitive science. The tenth instalment of this workshop takes place August 22–26, 2022. Below is a summary of the program. For more information on program and fees visit the workshop website: https://gmail.us20.list-manage.com/track/click?u=71406b44e064c2160a2ab6570&id=1b226846f8&e=4d3772eb89


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Event Description
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In this workshop, plenary lectures provide the theoretical background of Bayesian statistics, and practical computer exercises teach participants how to use the popular JAGS and Stan programs and apply them to a wide range of different statistical models. After completing this workshop, participants will have gained not only a new understanding of statistics, but also the technical skills to implement models that are appropriate for the substantive hypotheses of interest.


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Target Audience
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This workshop is meant for researchers who want to learn how to apply Bayesian inference in practice. Most applications we discuss are taken from the field of cognitive science. Because the workshop is based on a set of book chapters and concrete exercises of varying difficulty, the course material is appropriate for researchers with a wide range of prior knowledge and interests. Although some basic knowledge of Bayesian inference is an advantage, this is not a prerequisite. In the course we use JAGS or Stan in combination with R or Matlab (the choice is yours), and therefore some basic knowledge of either R or Matlab is also an advantage.


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Details
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For more information visit the workshop website:

https://gmail.us20.list-manage.com/track/click?u=71406b44e064c2160a2ab6570&id=13529be835&e=4d3772eb89
Register (https://gmail.us20.list-manage.com/track/click?u=71406b44e064c2160a2ab6570&id=94c353359f&e=4d3772eb89)


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Workshop Fees
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(PhD) student: 550 Euro
Faculty: 650 Euro
Other: 850 Euro

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